One of the world’s leading providers of business software*, SAP delivers products and services which help accelerate business innovation for its customers. The vendor believes that doing so will unleash growth and create significant new value – for their customers, SAP, and ultimately, entire industries and the economy at large – making the world a better place for people everywhere. The vendor says that, more than 82,000 customers in more than 120 countries run SAP applications – from distinct solutions addressing the needs of small businesses and midsize companies to suite offerings for global organizations (*) SAP defines business software as comprising enterprise resource planning, business intelligence and related applications such as supply chain management, customer relationship management, product life-cycle management, and supplier relationship management.
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The BI life cycle spans a continuum that begins with large amounts of disparate data and stretches to encompass people, technology, information, analysis, and decision making. The benefits of BI are substantial: new business capabilities for insight, forecasting, planning, agility, and strategy execution.
Realizing benefits is challenging. With many moving parts—infrastructure, technology, data, integration, analytics, applications, metrics, reports, dashboards, scorecards—putting the pieces together in the most effective way is difficult. Learn the basics of BI from end to end, with special attention to two of the most important factors for BI success: planning and collaboration. You are most able to chart a course for BI success when teams and stakeholders share common concepts, use consistent terminology, and contribute collectively to the BI vision.
You Will Learn
- Meaningful and actionable definitions of BI
- Effective ways to deliver BI: Web, mobile, desktop, etc.
- Common kinds of BI reporting: ad hoc, published, enterprise, and operational
- Performance management principles, including dashboards, scorecards, and KPIs
- Business analyst principles, including OLAP, analytic modeling, and data visualization
- Advanced analytics concepts for data mining, predictive analytics, and text analytics
- Data management practices, including profiling, cleansing, and quality management
- Data integration practices, including consolidation, virtualization, and data warehousing
- Anyone with a role in BI/DW programs who needs to understand the concepts and the full life cycle of BI
- BI/DW managers and leaders seeking to increase the value and business impact of a BI program
- Business andtechnical people who need to work together to implement BI
- Teams that need to develop a common base of concepts and terminology for BI
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